dc.contributor.author | Gisnås, Kjersti | |
dc.date.accessioned | 2023-07-31T09:01:06Z | |
dc.date.available | 2023-07-31T09:01:06Z | |
dc.date.issued | 2020-06-26 | |
dc.identifier.uri | https://hdl.handle.net/11250/3081908 | |
dc.description.abstract | Quantification of release probabilities in local avalanche forecasting are depending on
knowledge of historical weather characteristics as well as detailed knowledge of the
wind driven snow distribution on a fine scale. In WP5 we have computed extreme
weather statistics for snow and other related parameters for historical and future climates
at 1 km2 resolution (2), and prepared gridded regional scale wind data for use in statistics
together with historical gridded data (3). Within each 1x1 km grid cell wind is the
dominant factor determining snow distribution in the terrain. Simple terrain indexes as
well as a complex fluid dynamic (CFD) model have been tested and evaluated with
respect to performance in modelling wind fields (4), determine snow distribution (4.7)
and potential release areas (4.8). Several scripts and tools have been developed along
this study with the aim of establishing an improved toolbox for avalanche forecasting
on a local scale. | en_US |
dc.description.sponsorship | Norges vassdrags- og energidirektorat | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Norges Geotekniske Institutt | en_US |
dc.relation.ispartofseries | NGI-rapport;20170131-19-TN | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Avalanche-RnD | en_US |
dc.subject | Snøskred-FoU | en_US |
dc.subject | Wind Simulation | en_US |
dc.subject | Snow Distribution | en_US |
dc.subject | Windsim | en_US |
dc.subject | Winstral | en_US |
dc.title | Wind simulations for use in local avalanche forecasting | en_US |
dc.type | Research report | en_US |
dc.source.pagenumber | 28 | en_US |
dc.relation.project | SP4 FoU Snøskred 2017-2019 | en_US |